ARTIFICIAL INTELLIGENCE–DRIVEN CORPORATE GOVERNANCE: DATA-BASED DECISION MAKING AND RISK MANAGEMENT
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Keywords

artificial intelligence, corporate governance, data-driven decision making, risk management, digital transformation.

How to Cite

Ruziboev , O. (2026). ARTIFICIAL INTELLIGENCE–DRIVEN CORPORATE GOVERNANCE: DATA-BASED DECISION MAKING AND RISK MANAGEMENT. INTERNATIONAL CONFERENCE ON SCIENCE, INNOVATION AND GLOBAL DEVELOPMENT, 1(1), 230-234. https://doi.org/10.5281/zenodo.18472559

Abstract

This article examines the role of artificial intelligence in modern corporate governance, with a focus on data-based decision making and risk management. Artificial intelligence technologies such as machine learning, big data analytics, and predictive modeling significantly enhance the effectiveness of corporate boards and executive management. The study analyzes how AI improves transparency, reduces agency problems, strengthens internal control systems, and supports proactive risk identification. The findings indicate that AI-driven corporate governance increases organizational resilience and contributes to sustainable long-term value creation.

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References

1. OECD. (2023). Corporate Governance and Artificial Intelligence.

2. Jensen, M. C., & Meckling, W. H. (1976). Theory of the firm: Managerial behavior, agency costs and ownership structure.

3. Brynjolfsson, E., & McAfee, A. (2017). Machine, Platform, Crowd.

4. Kaplan, R. S., & Norton, D. P. (2008). The Execution Premium.

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